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Data-driven prediction and thermodynamic performance assessment of industrial cooling towers using advanced machine learning algorithms.

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Title: Data-driven prediction and thermodynamic performance assessment of industrial cooling towers using advanced machine learning algorithms.
Authors: Jamil, Syed Rehman1 (AUTHOR), Shehzad, Adeel2 (AUTHOR), Usman, Muhammad1 (AUTHOR) muhammadusman@uet.edu.pk, Abbas, Muhammad Mujtaba3 (AUTHOR) muhammadusman@uet.edu.pk, Qaisrani, Omama Zainab1 (AUTHOR), Saleem, Muhammad Wajid4 (AUTHOR), Musharaf, Hafiz Muhammad5 (AUTHOR), Petrů, Jana6 (AUTHOR) m.mujtaba@uet.edu.pk, Bashir, Muhammad Nasir6,7 (AUTHOR), Fouad, Yasser8 (AUTHOR)
Source: PLoS ONE. 7/2/2026, Vol. 21 Issue 7, p1-19. 19p.
Database: Academic Search Ultimate
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An: 195049330
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 7/2/2026, Vol. 21 Issue 7, p1-19. 19p.
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        Value: 10.1371/journal.pone.0351944
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              Text: 7/2/2026
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